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초록
The increase of the IoT and the cloud environment have played a significant role of making our society knowledgeable and informative. Due to this trends the system environment gets more sophisticated and requires more system resources. In this paper, the monitoring automation without humans being involved has been proposed. It is noted that the 93.75% faults has been detected via the simulation using the proposed technique and the faults that the operators reported have been detected as well in datacenter.
키워드
Anomaly detection; IoT; IT; Machine learning; Monitoring automation; Time-series; Anomaly detection; Artificial intelligence; Automation; Learning systems; Time series; Cloud environments; Datacenter; Monitoring automation; Online monitoring; System environment; System resources; Internet of things
- 제목
- Online monitoring automation using anomaly detection in IoT/IT environment
- 저자
- Kim, Chul; Joe, Inwhee; Jang, Deokwon; Kim, Eunji ; Nam, Sanghun
- 발행일
- 2019-04
- 유형
- Conference Paper
- 저널명
- Advances in Intelligent Systems and Computing
- 권
- 985
- 페이지
- 96 ~ 106